Turning Users' In-Game Behaviours into Actionable Adaptive Gamification Strategies using the PEAS Framework

dc.contributor.authorLoria, Enrica
dc.contributor.authorHallifax, Stuart
dc.contributor.authorAltmeyer, Maximilian
dc.contributor.authorNacke, Lennart E.
dc.contributor.authorMarconi, Annapaola
dc.date.accessioned2021-12-24T17:31:38Z
dc.date.available2021-12-24T17:31:38Z
dc.date.issued2022-01-04
dc.description.abstractAdaptive gamification answers the need to customize engagement strategies because users are motivated by different game elements and mechanics. To better understand these individual preferences, user modelling is vital. However, gameful designers must make many decisions on matching profiling data to actual adaptation strategies, which makes modelling particularly challenging. The lack of a standardized and guided process for adaptive gamification hinders replicability, comparability, and complicates making adaptation dynamic. In this study, we analyzed a persuasive gameful application (Play\&Go) to show how in-game behaviours can be translated into adaptation strategies. We used an existing adaptation framework (PEAS) grounded in the games and gamification literature. Our work demonstrates the suitability of the PEAS model as a shared, standardized method for adaptive gamification and shows how it can guide the process of transforming user behaviours into actionable adaptation strategies.
dc.format.extent10 pages
dc.identifier.doi10.24251/HICSS.2022.202
dc.identifier.isbn978-0-9981331-5-7
dc.identifier.urihttp://hdl.handle.net/10125/79534
dc.language.isoeng
dc.relation.ispartofProceedings of the 55th Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectGamification
dc.subjectadaptive gamification
dc.subjectpeas framework
dc.subjectplayer behaviours
dc.subjecttailored gamification
dc.titleTurning Users' In-Game Behaviours into Actionable Adaptive Gamification Strategies using the PEAS Framework
dc.type.dcmitext

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